The Research of Starry-Sky Image Bright Stray Light Background Suppression Method

Article Preview

Abstract:

The space-based visible observation imaging platform for sky targets is influenced by many factors, a serious factor is the light of background too bright. A image with the bright stray light background has some high gray areas those may submerge the targets info. Aimed at the shortcomings of traditional background removal method in target extraction under the bright stray light background, according to the differences of bright stray light background and sky targets imaging characteristics, this paper has made some research of the algorithms about how to remove the bright stray light background but not delete the targets info. The algorithm we got that give us great results will be shown in the paper. It solves the problems of the bright background light removal and greatly retain the targets info which submerged in the bright areas.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 989-994)

Pages:

4107-4110

Citation:

Online since:

July 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Zhang Chunhua, ChenBiao, Zhou Xiaodong. Small target trace acquisition algorithm for sequence star images with moving background. Optics and Precision Engineering. 2008, 16(3):524-530.

Google Scholar

[2] Lincoln Laboratory. MASSACHUSETTS INSTITUTE OF TECHNOLOGY. Efficient Detection of Small Moving Objects. Technical Report 846.

Google Scholar

[3] Yuping Lin· Qian Yu· Gérard Medioni. Efficient detection and tracking of moving objects in geo-coordinates,. Machine Vision and Applications (2011) 22: 505–520.

DOI: 10.1007/s00138-010-0264-1

Google Scholar

[4] Brown, M., Lowe, D.G.: Recognizing panoramas. In: ICCV'03.

Google Scholar

[5] Proceedings of Ninth IEEE International Conference on Computer Vision, p.1218–1225 (2003).

Google Scholar

[6] Smith, K., Gatica-Perez, D., Odobez, J. -M.: Using particles to trackvarying numbers of interacting people. In: CVPR, p.962–969(2005).

DOI: 10.1109/cvpr.2005.361

Google Scholar

[7] Yang, R., Pollefeys, M.: Multi-resolution real-time stereo on com-modity graphics hardware. In: CVPR, p.211–217 (2003).

Google Scholar

[8] Lowe, D.G.: Distinctive image features from scale-invariant key-points. Int. J. Comput. Vis. 60(2), 91–110 (2004).

Google Scholar

[9] Khan, Z., Balch, T., Dellaert, F.: MCMC-based particle filtering for tracking a variable number of interacting targets. IEEE PAMI 11, 1805–1918 (2005).

DOI: 10.1109/tpami.2005.223

Google Scholar

[10] Kruger J., Westermann, R.: Linear algebra operators for gpu imple-mentation of numerical algorithms. In: International Conference on Computer Graphics and Interactive Techniques, p.908–916(2003).

DOI: 10.1145/882262.882363

Google Scholar